Databricks vs Infobright DB comparison

Databricks and IgniteTech are both solutions in the Cloud Data Warehouse category. Additionally, 96% of Databricks users are willing to recommend the solution, compared to 80% of IgniteTech users who would recommend it.

Databricks

Read 91 Databricks reviews

23,965 Views
2,157 Comparison Views

96% willing to recommend

Infobright DB

Read 10 Infobright DB reviews

316 Views
186 Comparison Views

80% willing to recommend

Databricks

Infobright DB

Comparison Buyer's Guide

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Executive Summary

We performed a comparison between Databricks and Infobright DB based on real PeerSpot user reviews.

Find out in this report how the two Cloud Data Warehouse solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI.

To learn more, read our detailed Databricks vs. Infobright DB Report (Updated: July 2025).

Buyer's Guide

Databricks vs. Infobright DB

July 2025

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Helped 865,384 peers since 2012

Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Categories and Ranking

Databricks

Average Rating

8.2

Reviews Sentiment

7.0

Number of Reviews

Ranking in other categories

Cloud Data Warehouse (8th), Data Science Platforms (1st), Streaming Analytics (1st)

Infobright DB

Average Rating

7.6

Reviews Sentiment

6.3

Number of Reviews

Ranking in other categories

Relational Databases Tools (38th), Data Warehouse (24th)

Featured Reviews

ShubhamSharma7

Data Engineer at a engineering company with 1,001-5,000 employees

Capability to integrate diverse coding languages in a single notebook greatly enhances workflow

Databricks offers various courses that I can use, whether it's PySpark, Scala, or R. I can leverage all these courses in a single notebook, which is beneficial for clients as they can access various tools in one place whenever needed. This is quite significant. I usually work with PySpark based on client requirements. After coding, I feed the Databricks notebooks into the ADF pipeline for updates. Databricks' capability to process data in parallel enhances data processing speed. Furthermore, I can connect our Databricks notebook directly with Power BI and other visualization tools like Qlik. Once we develop code, it allows us to transform raw data into visualizations for clients using analysis diagrams, which is very helpful.

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it_user708987

MySQL DBA at a financial services firm with 51-200 employees

Excellent reporting server that is compatible with MySQL

We ran into some quirks that Infobright had. We interacted with Infobright's support and were able to resolve them. There still are issues with data replication - Infobright is currently for one server (unless you buy the Infobright appliance). This would mean that redundancy is something you need to implement yourself.

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Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Pros

"Databricks is based on a Spark cluster and it is fast. Performance-wise, it is great."

"The main features of the solution are efficiency."

"The most valuable features of the solution are the hardware and the resources it quickly provides without much hassle."

"Databricks has improved my organization by allowing us to transform data from sources to a different format and feed that to the analytics, business intelligence, and reporting teams. This tool makes it easy to do those kinds of things."

"Databricks is a robust solution for big data processing, offering flexibility and powerful features."

"The capacity of use of the different types of coding is valuable. Databricks also has good performance because it is running in spark extra storage, meaning the performance and the capacity use different kinds of codes."

"This solution offers a lake house data concept that we have found exciting. We are able to have a large amount of data in a data lake and can manage all relational activities."

"It can send out large data amounts."

More Databricks pros

"It has very amazing smart grid query feature for very fast aggregate queries across millions of rows"

Cons

"The product cannot be integrated with a popular coding IDE."

"Databricks may not be as easy to use as other tools, but if you simplify a tool too much, it won't have the flexibility to go in-depth. Databricks is completely in the programmer's hands. I prefer flexibility rather than simplicity."

"Databricks would have more collaborative features than it has. It should have some more customization for the jobs."

"Would be helpful to have additional licensing options."

"Anyone who doesn't know SQL may find the product difficult to work with."

"The tool should improve its integration with other products."

"Costs can quickly add up if you don't plan for it."

"If I want to create a Databricks account, I need to have a prior cloud account such as an AWS account or an Azure account. Only then can I create a Databricks account on the cloud. However, if they can make it so that I can still try Databricks even if I don't have a cloud account on AWS and Azure, it would be great. That is, it would be nice if it were possible to create a pseudo account and be provided with a free trial. It is very essential to creating a workforce on Databricks. For example, students or corporate staff can then explore and learn Databricks."

More Databricks cons

"Only the data from the columns that reached 2GB will actually decrease. Other columns below 2GB in size do not leave the disk."

Pricing and Cost Advice

"Licensing on site I would counsel against, as on-site hardware issues tend to really delay and slow down delivery."

"The basic version of this solution is now open-source, so there are no license costs involved. However, there is a charge for any advanced functionality and this can be quite expensive."

"The licensing costs of Databricks depend on how many licenses we need, depending on which Databricks provides a lot of discounts."

"We only pay for the Azure compute behind the solution."

"I would rate Databricks' pricing seven out of ten."

"The product pricing is moderate."

"The solution uses a pay-per-use model with an annual subscription fee or package. Typically this solution is used on a cloud platform, such as Azure or AWS, but more people are choosing Azure because the price is more reasonable."

"The price of Databricks is reasonable compared to other solutions."

More Databricks pricing and cost advice

"Our pricing was based on server instances and it was actually very cheap compared to Oracle. I guess you get what you pay for."

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865,384 professionals have used our research since 2012.

Top Industries

By visitors reading reviews

Financial Services Firm

17%

Computer Software Company

10%

Manufacturing Company

Healthcare Company

No data available

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

Questions from the Community

Which do you prefer - Databricks or Azure Machine Learning Studio?

Databricks gives you the option of working with several different languages, such as SQL, R, Scala, Apache Spark, or Python. It offers many different cluster choices and excellent integration with ...

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How would you compare Databricks vs Amazon SageMaker?

We researched AWS SageMaker, but in the end, we chose Databricks. Databricks is a Unified Analytics Platform designed to accelerate innovation projects. It is based on Spark so it is very fast. It...

See all answers

Which would you choose - Databricks or Azure Stream Analytics?

Databricks is an easy-to-set-up and versatile tool for data management, analysis, and business analytics. For analytics teams that have to interpret data to further the business goals of their orga...

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Comparisons

Dataiku vs Databricks

Compared 10% of the time

Microsoft Power BI vs Databricks

Compared 9% of the time

Informatica PowerCenter vs Databricks

Compared 7% of the time

Dremio vs Databricks

Compared 6% of the time

Tableau Enterprise vs Databricks

Compared 5% of the time

More Databricks Competitors

NuoDB vs Infobright DB

Compared 100% of the time

More Infobright DB Competitors

Product Reports

Buyer's Guide

Databricks

August 2025

Download Databricks product report

Buyer's Guide

Infobright DB

August 2025

Download Infobright DB product report

Also Known As

Databricks Unified Analytics, Databricks Unified Analytics Platform, Redash

Infobright

Overview

Databricks is utilized for advanced analytics, big data processing, machine learning models, ETL operations, data engineering, streaming analytics, and integrating multiple data sources.

Organizations leverage Databricks for predictive analysis, data pipelines, data science, and unifying data architectures. It is also used for consulting projects, financial reporting, and creating APIs. Industries like insurance, retail, manufacturing, and pharmaceuticals use Databricks for data management and analytics due to its user-friendly interface, built-in machine learning libraries, support for multiple programming languages, scalability, and fast processing.

What are the key features of Databricks?

User-friendly interface: Simplifies operations and usability.
Built-in machine learning libraries: Facilitates machine learning tasks.
Support for multiple programming languages: Enhances flexibility.
Scalability: Efficiently handles growing data needs.
Fast processing: Improves performance and speed.
Automated optimization: Reduces manual efforts.
Data visualization: Provides insightful visuals.
Collaborative features: Enhances teamwork.
Delta Lake performance: Boosts data management.
Seamless cluster management: Simplifies system operations.

What are the benefits or ROI to look for in Databricks reviews?

Efficiency in handling large datasets: Ensures smooth processing.
Interactive workspace environment: Improves user collaboration.
Integration with platforms: Provides connectivity benefits.
Performance optimization: Enhances overall system performance.
Support for data governance and security: Ensures data integrity and protection.

Databricks is implemented in insurance for risk analysis and claims processing; in retail for customer analytics and inventory management; in manufacturing for predictive maintenance and supply chain optimization; and in pharmaceuticals for drug discovery and patient data analysis. Users value its scalability, machine learning support, collaboration tools, and Delta Lake performance but seek improvements in visualization, pricing, and integration with BI tools.

Databricks

Infobright's high performance analytic database is designed for analyzing large volumes of machine-generated data

IgniteTech

Sample Customers

Elsevier, MyFitnessPal, Sharethrough, Automatic Labs, Celtra, Radius Intelligence, Yesware

REZ-1, SonicWALL, IntegriChain, Fuseforward International Inc., Polystar, Live Rail, Mavenir Systems, JDSU Partners, Bango

Buyer's Guide

Databricks vs. Infobright DB

July 2025

Free Report: Databricks vs. Infobright DB

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